Table of Contents
- The Numbers Behind the New AI Enterprise Services Race
- OpenAI’s “The Deployment Company”: $10 Billion and a 17.5% Guaranteed Return
- Anthropic’s $1.5 Billion Counter Move: Claude Goes to Wall Street
- Why Both Launched on the Same Day
- The $700 Billion Consulting Industry in the Crosshairs
- What This Means for Enterprise Buyers
- Who Wins and Who Loses
- FAQ
On May 4, 2026, both OpenAI and Anthropic announced separate joint ventures to embed their engineers directly inside enterprises, backed by a combined $11.5 billion from the world’s largest private equity firms. These AI enterprise services ventures represent something the consulting industry has feared for years: the model builders no longer want to sell APIs. They want to sell the transformation itself.
For every dollar companies spend on software, they spend six on services. That ratio built McKinsey, Accenture, and Deloitte into trillion-dollar advisory empires. Now the companies that actually build frontier AI models are asking a pointed question: why should an enterprise pay a consulting firm $50 million to implement a technology that the consulting firm itself licenses from us?
The Numbers Behind the New AI Enterprise Services Race
The scale of capital committed on a single day tells the story of how seriously both labs are taking this pivot.
OpenAI’s venture, “The Deployment Company” (internally called DeployCo), closed at $10 billion with 19 investors. Anthropic’s unnamed entity launched at $1.5 billion with Blackstone, Hellman & Friedman, Goldman Sachs, and a consortium that includes General Atlantic, Apollo, GIC, and Sequoia.
Combined, that is $11.5 billion dedicated to one mission: taking the services revenue that currently flows to consulting firms and redirecting it to the model builders themselves.
To put that in context, Accenture’s entire AI practice generated approximately $6 billion in revenue last year. McKinsey’s AI consulting brought in an estimated $3 billion. Both OpenAI and Anthropic are capitalizing their new ventures at a level that matches or exceeds the annual AI revenue of the world’s largest consultancies.
OpenAI’s “The Deployment Company”: $10 Billion and a 17.5% Guaranteed Return
OpenAI’s venture is structured as a Delaware LLC with TPG as the anchor investor. The financial terms are unusual and aggressive.
Capital structure: OpenAI commits up to $1.5 billion ($500 million equity at close, with a $1 billion option). The PE consortium contributes roughly $4 billion across a five year window. The remaining capital comes from 19 total investors including Brookfield Asset Management, Advent, Bain Capital, Dragoneer, and SoftBank.
The guaranteed return: OpenAI is offering PE investors a 17.5% guaranteed annual return over five years, with seniority over other partners and downside protection. These terms are far more favorable than typical preferred instruments and signal how badly OpenAI wants this distribution channel.
Control: OpenAI retains strategic control through super-voting shares while the financial sponsors take the economics of an income-oriented investment.
Operating model: The Deployment Company will embed teams of OpenAI engineers directly inside client organizations, following the forward-deployed-engineer model that Palantir pioneered. Priority sectors include healthcare, logistics, manufacturing, and financial services.
The PE angle matters. TPG, Brookfield, Advent, and Bain collectively control portfolio companies with hundreds of billions in combined revenue. The Deployment Company does not need to win clients through cold outreach. It has a captive market: the portfolio companies of its own investors.
Anthropic’s $1.5 Billion Counter Move: Claude Goes to Wall Street
Anthropic’s venture takes a different shape but targets the same gap.
Founding investors: Anthropic, Blackstone, and Hellman & Friedman each commit approximately $300 million. Goldman Sachs adds $150 million. Additional backing comes from General Atlantic, Leonard Green, Apollo Global Management, GIC (Singapore’s sovereign wealth fund), and Sequoia Capital.
Structure: A standalone entity with Anthropic engineering and partnership resources embedded directly within its team. Unlike a consulting firm that licenses AI tools, this venture has the model builder as a founding partner with engineers on staff.
Business model: Rather than selling advisory hours or implementation roadmaps, the firm embeds engineers inside companies to redesign workflows and integrate Claude into core business operations. Blackstone President Jon Gray called it an effort to break down “one of the most significant bottlenecks to enterprise AI adoption”: the scarcity of engineers who can implement frontier AI systems at speed.
The Blackstone advantage: Blackstone manages over $1 trillion in assets. Its portfolio companies alone represent a guaranteed initial customer base. When the investor is also the customer, the go-to-market problem disappears.
Why Both Launched on the Same Day
The simultaneous timing is not coincidental. Both labs face the same strategic pressure: revenue growth from API access alone is decelerating relative to costs.
Anthropic’s run-rate revenue recently surpassed $30 billion, up from $9 billion at end of 2025. But its compute costs are growing faster. OpenAI sits at approximately $25 billion in annual revenue. Both companies know that the real money in enterprise AI is not in selling tokens at fractions of a cent. It is in selling outcomes at millions of dollars per engagement.
The consulting industry charges $300 to $700 per hour for AI strategy and implementation work. A single enterprise AI transformation project at McKinsey or Accenture runs $20 to $80 million. That is the prize both labs are after.
Both also face pressure from their own investors. OpenAI’s backers need to see a path to profitability that does not require perpetual fundraising. Anthropic’s backers, including Google’s recent $40 billion commitment, need revenue growth that justifies triple-digit billion-dollar valuations. Enterprise services at high margins solve both problems.
The $700 Billion Consulting Industry in the Crosshairs
The global management consulting market generates approximately $700 billion annually. AI implementation and digital transformation account for the fastest-growing segment, projected at $150 billion by 2027.
The incumbents are already struggling with the shift:
McKinsey shrank from 45,000 employees in 2022 to 40,000 by mid-2025, with a further 10% reduction announced in December 2025. The firm now operates 20,000 AI agents alongside 40,000 humans, but it still charges human-equivalent rates for AI-assisted work.
Accenture cut 11,000 roles while committing $3 billion to AI and pledging 80,000 AI-focused hires. Revenue growth in AI services hit 35% year-over-year, but the firm acknowledges it is racing to stay ahead of clients who increasingly bypass consultants to work with model providers directly.
Deloitte and EY are experiencing growth roughly double that of McKinsey, BCG, and Bain, driven by execution-heavy implementation work. But that is precisely the work the new AI ventures target.
The fundamental vulnerability: consulting firms license AI from OpenAI and Anthropic, mark it up, and resell the implementation. Now the suppliers are going direct.
A Harvard/BCG study found AI-using consultants completed tasks 25.1% faster with over 40% higher quality. If the model builder itself deploys those engineers, the consulting firm’s value-add shrinks to relationships and regulatory expertise, neither of which justifies a 6x markup on software spend.
What This Means for Enterprise Buyers
For CIOs and CTOs evaluating AI transformation partners, the landscape just changed fundamentally.
Option 1: Traditional consulting firm. You pay McKinsey or Accenture $30 to $80 million. They license GPT or Claude through your enterprise agreement, bring in junior analysts who completed a two-week AI boot camp, and deliver a transformation roadmap over 12 to 18 months.
Option 2: The model builder itself. You engage The Deployment Company or Anthropic’s venture. The engineers who built the model embed inside your organization. They understand the architecture at a level no consulting analyst can match. The engagement costs a similar amount, but the implementation is tighter because the people doing the work are not learning the technology on your dime.
The trade-off: Consulting firms bring industry expertise, change management, and decades of organizational transformation experience. OpenAI and Anthropic bring technical depth but limited experience navigating corporate politics, regulatory compliance, and workforce transitions.
Smart enterprise buyers will likely split: using the new ventures for core technical implementation and retaining consulting firms for change management and regulatory strategy. The consulting firms that survive will look more like Bain (strategy and governance) and less like Accenture (implementation at scale).
Who Wins and Who Loses
Winners:
- Enterprise buyers get faster, deeper implementations from the people who actually built the technology.
- PE-backed companies in the investor consortiums get preferential access to frontier AI engineering talent.
- OpenAI and Anthropic capture services revenue at 60 to 70% gross margins instead of API revenue at 20 to 30% margins.
- Palantir pioneered this model and proved it works. Its stock is up 400% since adopting forward-deployed engineering as its primary go-to-market.
Losers:
- Mid-tier consulting firms without deep AI IP face existential pressure. If you cannot build the model and you cannot match the price, your only remaining asset is the client relationship.
- System integrators (Infosys, Wipro, TCS) that do AI implementation at scale are directly threatened by ventures that combine the model builder with the integrator.
- Consulting firms’ AI practices that staffed up with expensive hires now face the possibility that their largest vendors are also their fiercest competitors.
The Bigger Picture
This is the AI industry growing up. The research lab era, where model builders sold API access and let others handle deployment, is ending. The enterprise era, where model builders own the full stack from training to transformation, is beginning.
The $11.5 billion committed on a single day is a statement of intent. OpenAI and Anthropic are not content being infrastructure providers. They want the value that sits on top of their own technology. For the consulting industry, the question is no longer whether AI will disrupt their business model. It is whether the disruption comes from their own suppliers.
FAQ
What is The Deployment Company?
The Deployment Company is OpenAI’s $10 billion joint venture with TPG, Brookfield, Advent, Bain Capital, SoftBank, and 14 other PE investors. It embeds OpenAI engineers directly inside enterprise organizations to implement AI transformation, targeting healthcare, logistics, manufacturing, and financial services.
How is Anthropic’s enterprise venture different from OpenAI’s?
Anthropic’s $1.5 billion joint venture with Blackstone, Hellman & Friedman, and Goldman Sachs is smaller in capitalization but targets the same opportunity. The key difference is the investor base: Anthropic’s partners control over $1 trillion in portfolio company assets, giving the venture a built-in customer base of mid-market companies.
Does this mean consulting firms like McKinsey are obsolete?
Not immediately. Consulting firms retain advantages in change management, regulatory navigation, and organizational politics that pure technology providers lack. However, the implementation and technical integration work, which represents the fastest-growing and most profitable segment of AI consulting, is now directly contested by the model builders themselves.
What does the 17.5% guaranteed return mean for OpenAI’s investors?
OpenAI is guaranteeing PE investors a 17.5% annual return over five years with seniority and downside protection. This means OpenAI is absorbing significant risk to secure distribution through PE portfolio companies. If the venture underperforms, OpenAI covers the gap. It signals extreme confidence in enterprise AI services margins.
Should enterprises choose OpenAI’s or Anthropic’s venture?
The choice likely depends on your existing investor relationships. If your PE sponsor is a TPG or Brookfield portfolio company, The Deployment Company is the natural fit. If Blackstone or Hellman & Friedman is your owner, Anthropic’s venture offers the path of least resistance. For companies outside both orbits, evaluate based on which model (GPT vs. Claude) better fits your use cases and security requirements.